Titlebook: Algorithmic Learning Theory; 16th International C Sanjay Jain,Hans Ulrich Simon,Etsuji Tomita Conference proceedings 2005 Springer-Verlag B

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Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Diss performance guarantees (relative to their centralized or batch counterparts). It also describes how this approach can be extended to work with autonomous, and hence, inevitably semantically heterogeneous data sources, by making explicit, the ontologies (attributes and relationships between attribu

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M. Sund,Birgit Filipiak,Kira Schulzing genes, proteins and metabolites) of the aromatic amino acid synthesis pathway. In biological experiments that automatically reconstruct parts of this model, we show that an intelligent experiment selection strategy is competitive with human performance and significantly outperforms, with a cost

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Markov-Analyse von DNS-Sequenzenthrough a space of inventions. For complex inventions, such as the airplane or model rockets, the process of invention can be expedited by an appropriate strategy of invention. Two case studies will be used to illustrate these general principles: the invention of the airplane (1799-1909) and the inv

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